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Dataset Title:  Santa Rosa California Subscribe RSS
Institution:  Remote Automatic Weather Stations (RAWS)    (Dataset ID: edu_dri_raws_cacsrs)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
 
   Maximum ?
 
 time (UTC) ?          2015-05-05T14:00:00Z    2017-06-05T19:00:00Z
  < slider >
 latitude (degrees_north) ?          38.4786111111111    38.4786111111111
  < slider >
 longitude (degrees_east) ?          -122.711944444444    -122.711944444444
  < slider >
 z (m) ?          0.0    0.0
 air_temperature_cm_time__mean_over_pt24h (degree_Celsius) ?              
 battery_voltage (Battery, V) ?              
 fuel_temperature (degree_Celsius) ?              
 lwe_thickness_of_precipitation_amount (mm) ?              
 relative_humidity (%) ?              
 solar_radiation (W.m-2) ?              
 wind_speed_of_gust (Wind Gust, mile.hour-1) ?              
 wind_speed (m.s-1) ?              
 wind_from_direction (degrees) ?              
 station (Santa Rosa California) ?              
 
Server-side Functions ?
 distinct() ?
? (" ")

File type: (more info)

(Documentation / Bypass this form ? )
 
(Please be patient. It may take a while to get the data.)


 

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.4308344e+9, 1.4966892e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 38.4786111111111, 38.4786111111111;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range -122.711944444444, -122.711944444444;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  z {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "up";
    Float64 actual_range 0.0, 0.0;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Z";
    String positive "up";
    String standard_name "height";
    String units "m";
  }
  air_temperature_cm_time__mean_over_pt24h {
    Float64 _FillValue -9999.99;
    String cell_methods "time: mean";
    String id "401958";
    String interval "PT24H";
    String ioos_category "Other";
    String long_name "Air Temperature";
    Float64 missing_value -9999.99;
    String platform "station";
    String standard_name "air_temperature";
    String units "degree_Celsius";
    String urn "http://mmisw.org/ont/cf/parameter/air_temperature";
  }
  battery_voltage {
    Float64 _FillValue -9999.99;
    String id "312003";
    String ioos_category "Other";
    String long_name "Battery";
    Float64 missing_value -9999.99;
    String platform "station";
    String standard_name "battery_voltage";
    String units "V";
    String urn "http://mmisw.org/ont/ioos/parameter/battery_voltage";
  }
  fuel_temperature {
    Float64 _FillValue -9999.99;
    String id "312001";
    String ioos_category "Other";
    String long_name "Fuel Temperature";
    Float64 missing_value -9999.99;
    String platform "station";
    String standard_name "fuel_temperature";
    String units "degree_Celsius";
    String urn "http://mmisw.org/ont/fake/parameter/fuel_temperature";
  }
  lwe_thickness_of_precipitation_amount {
    Float64 _FillValue -9999.99;
    String id "312005";
    String ioos_category "Other";
    String long_name "Precipitation (accumulation)";
    Float64 missing_value -9999.99;
    String platform "station";
    String standard_name "lwe_thickness_of_precipitation_amount";
    String units "mm";
    String urn "http://mmisw.org/ont/cf/parameter/lwe_thickness_of_precipitation_amount";
  }
  relative_humidity {
    Float64 _FillValue -9999.99;
    String id "311996";
    String ioos_category "Other";
    String long_name "Relative Humidity";
    Float64 missing_value -9999.99;
    String platform "station";
    String standard_name "relative_humidity";
    String units "%";
    String urn "http://mmisw.org/ont/cf/parameter/relative_humidity";
  }
  solar_radiation {
    Float64 _FillValue -9999.99;
    String id "312006";
    String ioos_category "Other";
    String long_name "Solar Radiation";
    Float64 missing_value -9999.99;
    String platform "station";
    String standard_name "solar_radiation";
    String units "W.m-2";
    String urn "http://mmisw.org/ont/fake/parameter/solar_radiation";
  }
  wind_speed_of_gust {
    Float64 _FillValue -9999.99;
    String id "312000";
    String ioos_category "Other";
    String long_name "Wind Gust";
    Float64 missing_value -9999.99;
    String platform "station";
    String standard_name "wind_speed_of_gust";
    String units "mile.hour-1";
    String urn "http://mmisw.org/ont/cf/parameter/wind_speed_of_gust";
  }
  wind_speed {
    Float64 _FillValue -9999.99;
    String id "311997";
    String ioos_category "Other";
    String long_name "Wind Speed";
    Float64 missing_value -9999.99;
    String platform "station";
    String standard_name "wind_speed";
    String units "m.s-1";
    String urn "http://mmisw.org/ont/cf/parameter/wind_speed";
  }
  wind_from_direction {
    Float64 _FillValue -9999.99;
    String id "311998";
    String ioos_category "Other";
    String long_name "Wind From Direction";
    Float64 missing_value -9999.99;
    String platform "station";
    String standard_name "wind_from_direction";
    String units "degrees";
    String urn "http://mmisw.org/ont/cf/parameter/wind_from_direction";
  }
  station {
    String cf_role "timeseries_id";
    String ioos_category "Identifier";
    String ioos_code "urn:ioos:station:com.axiomdatascience:16483";
    String long_name "Santa Rosa California";
    String short_name "urn:ioos:station:edu.dri.raws:caCSRS";
    String type "fixed";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "TimeSeries";
    String cdm_timeseries_variables "air_temperature_cm_time__mean_over_pt24h,battery_voltage,fuel_temperature,lwe_thickness_of_precipitation_amount,relative_humidity,solar_radiation,wind_speed_of_gust,wind_speed,wind_from_direction";
    String contributor_email "feedback@axiomdatascience.com";
    String contributor_name "Axiom Data Science";
    String contributor_role "processor";
    String contributor_role_vocabulary "CI_RoleCode";
    String contributor_url "https://www.axiomdatascience.com";
    String Conventions "IOOS-1.2, CF-1.6, ACDD-1.3, NCCSV-1.0";
    String creator_country "USA";
    String creator_email "wrcc@dri.edu";
    String creator_institution "Remote Automatic Weather Stations (RAWS) ";
    String creator_name "Remote Automatic Weather Stations (RAWS) ";
    String creator_sector "academic";
    String creator_type "institution";
    String creator_url "http://www.raws.dri.edu/";
    Float64 Easternmost_Easting -122.711944444444;
    String featureType "TimeSeries";
    Float64 geospatial_lat_max 38.4786111111111;
    Float64 geospatial_lat_min 38.4786111111111;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -122.711944444444;
    Float64 geospatial_lon_min -122.711944444444;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 0.0;
    Float64 geospatial_vertical_min 0.0;
    String geospatial_vertical_positive "up";
    String geospatial_vertical_units "m";
    String history 
"Downloaded from Remote Automatic Weather Stations (RAWS)  at 
2019-08-21T19:54:41Z https://sensors.axds.co/api/
2019-08-21T19:54:41Z http://erddap.cencoos.org/erddap/tabledap/edu_dri_raws_cacsrs.html";
    Int32 id 16483;
    String info_url "https://data.cencoos.org/?sensor_version=v2#metadata/16483/station";
    String infoUrl "https://data.cencoos.org/?sensor_version=v2#metadata/16483/station";
    String institution "Remote Automatic Weather Stations (RAWS) ";
    String license "These data may be used and redistributed for free but they are not intended for legal use, since they may contain inaccuracies. For use for publications please reference the Central and Northern California Ocean Observing system (CeNCOOS) and NOAA. Neither the data provider, CeNCOOS, NOAA, nor the United States Government, nor any of their employees or contractors, makes any warranty, express or implied, including warranties of merchantability and fitness for a particular purpose, or assumes any legal liability for the accuracy, completeness, or usefulness, or this information.";
    String naming_authority "com.axiomdatascience";
    Float64 Northernmost_Northing 38.4786111111111;
    String platform "fixed";
    String platform_vocabulary "http://mmisw.org/ont/ioos/platform";
    String publisher_country "USA";
    String publisher_email "wrcc@dri.edu";
    String publisher_institution "Remote Automatic Weather Stations (RAWS) ";
    String publisher_name "Remote Automatic Weather Stations (RAWS) ";
    String publisher_sector "academic";
    String publisher_type "institution";
    String publisher_url "http://www.raws.dri.edu/";
    String references "https://raws.dri.edu/cgi-bin/rawMAIN.pl?caCSRS,,";
    String sourceUrl "https://sensors.axds.co/api/";
    Float64 Southernmost_Northing 38.4786111111111;
    String standard_name_vocabulary "NetCDF Climate and Forecast (CF) Metadata Convention Standard Name";
    String summary "Timeseries data from 'Santa Rosa California' (urn:ioos:station:edu.dri.raws:caCSRS)";
    String time_coverage_end "2017-06-05T19:00:00Z";
    String time_coverage_start "2015-05-05T14:00:00Z";
    String title "Santa Rosa California";
    Float64 Westernmost_Easting -122.711944444444;
  }
}

 

Using tabledap to Request Data and Graphs from Tabular Datasets

tabledap lets you request a data subset, a graph, or a map from a tabular dataset (for example, buoy data), via a specially formed URL. tabledap uses the OPeNDAP (external link) Data Access Protocol (DAP) (external link) and its selection constraints (external link).

The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.

Tabledap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/pmelTaoDySst.htmlTable?longitude,latitude,time,station,wmo_platform_code,T_25&time>=2015-05-23T12:00:00Z&time<=2015-05-31T12:00:00Z
Thus, the query is often a comma-separated list of desired variable names, followed by a collection of constraints (e.g., variable<value), each preceded by '&' (which is interpreted as "AND").

For details, see the tabledap Documentation.


 
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